Confidently take on the tech interview. Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy. In this course, you'll review the common questions asked in data science, data analyst, and machine learning interviews.
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You'll learn how to answer machine learning questions about predictions, underfitting and overfitting. You'll walk through typical data analyst questions about statistics and probability. Then, you'll dive deeper into the data structures and algorithms you need to know. You'll also learn tips for answering questions like, "Tell me about one of your recent projects." At the end of the course, you'll have a chance to practice what you've learned. You'll receive a link for unlimited mock interviews on Pramp. Practice the skills you need to show up for your data science interview with confidence!
Knowing what to expect and practicing are keys to technical interview success. But, knowing the right answer is only part of the process. You also need to show how you tackle problems and communicate your thinking. In this course, you'll learn how to approach an interview not as a test, but a showcase. You'll learn to prepare not through memorization, but through process. You'll learn tips for remaining calm so you can answer with confidence to show your expertise.
This course will help you prepare and practice for your data science interview. Experienced data scientists will walk you through clear steps for answering tough questions. They'll share their tips for how to respond when you are nervous or don't know the answer. Then, you'll have an opportunity to practice what you've learned in mock interviews.
Udacity partners with tech industry leaders to bring you the most comprehensive resources for your job search. Join this course if you want to be in the driver’s seat of your job search where you decide which roles to interview for and land those interviews!
What You Will Learn
Lesson 1
Ace the Data Scientist Interview
- Explore jobs and roles in Data Science
- Learn how to effectively solve problems
Lesson 2
Data Analysis Interview Practice
- Query a SQL database
- Evaluate free throw probability
- Maximize difference in an integer array and design a spam classifier
Lesson 3
Machine Learning Interview Practice
- Predict rain
- identify fish
- detect plagiarism
- Reduce data dimensionality
- Explore how SVMs work
Lesson 4
Practice Interviewing
- Practice Mock Interviews with Pramp!
Lesson 5
Behavioral Questions
- Master behavioral interview questions
- Learn how to get past interview "fails"
Prerequisites and Requirements
Students should have experience with the following technical skills:
- Python (intermediate)
- SQL (intermediate)
- Statistics and Probability (intermediate)
- Algorithms (Basic)
- Supervised Machine Learning (intermediate)
Don't yet have these technical skills but want to master them? Enroll in one of the following Nanodegree programs:
